In a hypothetical example of five prison inmates, let us find out whether prior incarcerations influence in-prison behavior. The following table contains data on the prior incarcerations and the number of disciplinary reports filed against each inmate. Use the data to do the following
1. Calculate the slope coefficient b. 2. Calculate the intercept a. 3. Write out the full regression equation. 4. Calculate the number of disciplinary reports you would expect to be received by a person with 1. 3 prior incarcerations. 2. 15 prior incarcerations. 5. Using an alpha level of .05 and two-tailed alternative hypothesis, conduct a five-step hypothesis test to determine whether b is statistically significant. (sy = 2.59; and sx = 5.36; r = −.09) 6. If appropriate (i.e., if you rejected the null in Part e), calculate the beta weight.
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